SSDMobileNetV1ObjectDetectionModel
Special model class for detection objects on images with built-in preprocessing and post-processing.
It internally uses ONNXModels.ObjectDetection.SSDMobileNetV1 model trained on the COCO dataset.
Since
0.4
Constructors
SSDMobileNetV1ObjectDetectionModel
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fun SSDMobileNetV1ObjectDetectionModel()
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Functions
detectObjects
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fun detectObjects(inputData: FloatArray, topK: Int = 5): List<DetectedObject>
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Returns the top N detected object for the given image file sorted by the score.
predict
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predictRaw
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Returns list of multidimensional arrays with data from model outputs.
predictRawWithShapes
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fun predictRawWithShapes(inputData: FloatArray): List<Pair<FloatBuffer, LongArray>>
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Returns list of pairs from model outputs.
predictSoftly
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Predicts vector of probabilities instead of specific class in predict method.
open override fun predictSoftly(inputData: FloatArray, predictionTensorName: String): FloatArray
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Properties
inputDataType
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inputDimensions
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inputShape
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outputDataType
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outputShape
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